A Hacker News post argues that true artisanal code is code you can fully explain, defend, and fix yourself. The author dismisses no-code tools as 'evil' for their rigidity but sees a place for AI in generating boilerplate or autocompleting familiar functions. The core philosophy is maintaining deep ownership over your work.

The discussion emerges as project managers push AI-generated solutions, creating tension between speed and understanding. While AI can accelerate repetitive tasks, the author warns that agentic coding—where AI writes and fixes its own bugs—risks creating a system developers cannot mentally model or maintain, especially in complex legacy environments.

The central question becomes balancing efficiency with craftsmanship. Using AI for 90% of a task that's hard to unpick may not be success. The future likely involves engineers using AI as a powerful assistant for known patterns while retaining full responsibility for architecture, business logic, and the inevitable maintenance cycle.